Counterexamples in unbalanced two-way analysis of variance |
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| Authors: | D.S. Burdick D.G. Herr |
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| Affiliation: | 1. Duke University , Durham, North Carolina;2. University of North Carolina at Greensboro , Greensboro, North Carolina |
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| Abstract: | Recommended methods for analyzing unbalanced two-way data may be classified into two major categories:the parametric interpretation approach and the model comparison approach. Each approach has its advantages and its drawbacks. The main drawback of the parametric interpretation approach is non-orthogonality.For the model comparison approach the main drawback is the dependence of the hypothesis tested on the cell sizes. In this paper we provide examples to illustrate these drawbacks. |
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| Keywords: | unbalanced two-way anova proportional cell sizes nonorthogonality disguised interaction effects |
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